自動化
tradingview-mcp
AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation
★ 6.7k スターUnknown
ガイドを見る →skyvernは、Skyvern-AIが公開しているオープンソースの自動化プロジェクトです（GitHub: Skyvern-AI/skyvern）。GitHubスターは23,131、フォークは2,186で、AGPL-3.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月3日です。
Automate browser based workflows with AI
Link the services you already use through built-in integrations or generic webhooks and API calls.
Drag triggers and actions onto a canvas: when this happens, do that.
Branch on conditions, loop over items, or pipe steps through language models.
Turn the workflow on and watch executions in the run history.
A documented API lets other tools and scripts drive it programmatically.
Designed to run unattended: triggers, schedules, and webhooks.
Prebuilt connectors plus HTTP, webhooks, and database nodes.
Design automations on a canvas instead of writing glue code.
Retries, fallbacks, and alerts when steps fail.
Export, diff, and back up workflows like code.
Download the source and move into the project folder.
git clone https://github.com/Skyvern-AI/skyvern.git
cd skyvernEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Skyvern-AI/skyvern with 2,186 forks. Check the repo's contributors and recent commits to see how active maintenance is.
AGPL-3.0 — free to use, including over a network, with source-sharing obligations.
Same idea, but self-hosted with no per-task pricing.
Most flows are visual; light expressions help for advanced logic.
The core software is open-source and free to self-host; managed clouds exist if you prefer.
AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation
Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuratio…
Amazing Alfred Workflows
Strongly typed, enterprise-scale workflows built for speed and AI integration.
CLI orchestrator that runs AI agent workflows from declarative YAML.
Drag-and-drop builder for custom AI workflows across your favorite models.
LibreAIカタログに掲載された自動化プロジェクトの中で最もスターの多いもの — skyvernが合わなかった場合に検討したい、現実的な候補リストです。
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
Langflow — the visual builder for AI agents and workflows: drag-and-drop flows over LangChain components, deployed as APIs or MCP tools, MIT-licensed
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Flowise — build AI agents visually: an open-source drag-and-drop UI over LangChain and LlamaIndex, with chatflows, agentflows and a marketplace of templates
Create agents that monitor and act on your behalf. Your agents are standing by!
カタログの中でskyvernとスター数が近い自動化プロジェクト — 前後の棚もそのまま見て回れます。
Low-code programming for event-driven applications
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
A browser extension for automating your browser by connecting blocks
An AI + no-code platform for business systems: CRM, ERP and internal tools on proven infrastructure
Turns Data and AI algorithms into production-ready web applications in no time.